Pith Number

pith:GODG32OE

pith:2023:GODG32OEZWE3TKX3GXHNFFQN6R

not attested not anchored not stored refs pending

A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

Behrad Moniri, Donghwan Lee, Edgar Dobriban, Hamed Hassani

arxiv:2310.07891 v4 · 2023-10-11 · stat.ML · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{GODG32OEZWE3TKX3GXHNFFQN6R}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

3 papers in Pith

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer

There Will Be a Scientific Theory of Deep Learning

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer

Receipt and verification

First computed	2026-07-05T10:46:52.957960Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

33866de9c4cd89b9aafb35ced2960df454e3640e9213ceb9a81b43f648976e4e

Aliases

arxiv: 2310.07891 · arxiv_version: 2310.07891v4 · doi: 10.48550/arxiv.2310.07891 · pith_short_12: GODG32OEZWE3 · pith_short_16: GODG32OEZWE3TKX3 · pith_short_8: GODG32OE

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GODG32OEZWE3TKX3GXHNFFQN6R \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 33866de9c4cd89b9aafb35ced2960df454e3640e9213ceb9a81b43f648976e4e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1b453b8d6cff83352de0fcdf9e3c19a455e9f78d25559cfcbf78b04e14521126",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2023-10-11T20:55:02Z",
    "title_canon_sha256": "48c5fa208cb8dea95c7d8f9a1f176bbd6db7b7782c184251779f3bfd6ca2c965"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.07891",
    "kind": "arxiv",
    "version": 4
  }
}